Performance analysis of optimal channel estimation and multiuser detection in a randomly-spread CDMA channel

Keigo Takeuchi; Mikko Vehkaperä; Toshiyuki Tanaka; Ralf R. Müller

doi:10.1007/s11424-010-9278-z

Performance analysis of optimal channel estimation and multiuser detection in a randomly-spread CDMA channel

Keigo Takeuchi (Corresponding Author), Mikko Vehkaperä, Toshiyuki Tanaka, Ralf R. Müller

Not published at VTT

Research output: Contribution to journal › Article › Scientific › peer-review

1 Citation (Scopus)

Abstract

This paper analyzes performance of optimal channel estimation and multiuser detection (MUD) in a block-fading code-division multiple-access (CDMA) channel on the assumptions of random spreading and large-system limit, by using the replica method developed in statistical mechanics. The authors find that the asymptotic spectral efficiency of the linear minimum mean-squared error (LMMSE) MUD which was proposed and analyzed by Evans and Tse in 2000 is indistinguishable from that of the optimal MUD for small system loads. Our results imply that performance of MUD scarcely improves even if one spends more computational cost than that of the LMMSE MUD, i. e., at most the cube of the number of users, on the above-described conditions.

Original language	English
Pages (from-to)	22-34
Journal	Journal of Systems Science and Complexity
Volume	23
Issue number	1
DOIs	https://doi.org/10.1007/s11424-010-9278-z
Publication status	Published - 1 Feb 2010
MoE publication type	A1 Journal article-refereed

Keywords

Channel estimation
Code-division multiple-access (CDMA) systems
Multiuser detection
Replica method
Spectral efficiency

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10.1007/s11424-010-9278-z

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title = "Performance analysis of optimal channel estimation and multiuser detection in a randomly-spread CDMA channel",

abstract = "This paper analyzes performance of optimal channel estimation and multiuser detection (MUD) in a block-fading code-division multiple-access (CDMA) channel on the assumptions of random spreading and large-system limit, by using the replica method developed in statistical mechanics. The authors find that the asymptotic spectral efficiency of the linear minimum mean-squared error (LMMSE) MUD which was proposed and analyzed by Evans and Tse in 2000 is indistinguishable from that of the optimal MUD for small system loads. Our results imply that performance of MUD scarcely improves even if one spends more computational cost than that of the LMMSE MUD, i. e., at most the cube of the number of users, on the above-described conditions.",

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Performance analysis of optimal channel estimation and multiuser detection in a randomly-spread CDMA channel. / Takeuchi, Keigo (Corresponding Author); Vehkaperä, Mikko; Tanaka, Toshiyuki; Müller, Ralf R.

In: Journal of Systems Science and Complexity, Vol. 23, No. 1, 01.02.2010, p. 22-34.

Research output: Contribution to journal › Article › Scientific › peer-review

TY - JOUR

T1 - Performance analysis of optimal channel estimation and multiuser detection in a randomly-spread CDMA channel

AU - Takeuchi, Keigo

AU - Vehkaperä, Mikko

AU - Tanaka, Toshiyuki

AU - Müller, Ralf R.

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N2 - This paper analyzes performance of optimal channel estimation and multiuser detection (MUD) in a block-fading code-division multiple-access (CDMA) channel on the assumptions of random spreading and large-system limit, by using the replica method developed in statistical mechanics. The authors find that the asymptotic spectral efficiency of the linear minimum mean-squared error (LMMSE) MUD which was proposed and analyzed by Evans and Tse in 2000 is indistinguishable from that of the optimal MUD for small system loads. Our results imply that performance of MUD scarcely improves even if one spends more computational cost than that of the LMMSE MUD, i. e., at most the cube of the number of users, on the above-described conditions.

AB - This paper analyzes performance of optimal channel estimation and multiuser detection (MUD) in a block-fading code-division multiple-access (CDMA) channel on the assumptions of random spreading and large-system limit, by using the replica method developed in statistical mechanics. The authors find that the asymptotic spectral efficiency of the linear minimum mean-squared error (LMMSE) MUD which was proposed and analyzed by Evans and Tse in 2000 is indistinguishable from that of the optimal MUD for small system loads. Our results imply that performance of MUD scarcely improves even if one spends more computational cost than that of the LMMSE MUD, i. e., at most the cube of the number of users, on the above-described conditions.

KW - Channel estimation

KW - Code-division multiple-access (CDMA) systems

KW - Multiuser detection

KW - Replica method

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Performance analysis of optimal channel estimation and multiuser detection in a randomly-spread CDMA channel

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